
@inproceedings{ma_neugraph_2019,
	title = {{NeuGraph}: Parallel Deep Neural Network Computation on Large Graphs},
	booktitle = {2019 {USENIX} Annual Technical Conference ({ATC})},
	author = {Ma, Lingxiao and Yang, Zhi and Miao, Youshan and Xue, Jilong and Wu, Ming and Zhou, Lidong and Dai, Yafei},
	year = {2019}
}

@inproceedings{dhulipala_low-latency_2019,
	title = {Low-latency Graph Streaming Using Compressed Purely-functional Trees},
	booktitle = {Proceedings of the 40th {ACM} {SIGPLAN} Conference on Programming Language Design and Implementation ({PLDI})},
	author = {Dhulipala, Laxman and Blelloch, Guy E. and Shun, Julian},
	year = {2019}
}

@inproceedings{besta_slim_2019,
	title = {Slim graph: practical lossy graph compression for approximate graph processing, storage, and analytics},
	booktitle = {Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis ({SC})},
	author = {Besta, Maciej and Weber, Simon and Gianinazzi, Lukas and Gerstenberger, Robert and Ivanov, Andrey and Oltchik, Yishai and Hoefler, Torsten},
	year = {2019}
}

@inproceedings{sivathanu_astra_2019,
	title = {Astra: Exploiting Predictability to Optimize Deep Learning},
	booktitle = {Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems ({ASPLOS})},
	author = {Sivathanu, Muthian and Chugh, Tapan and Singapuram, Sanjay S. and Zhou, Lidong},
	year = {2019}
}

@inproceedings{hua_boosting_2019,
	title = {Boosting the Performance of {CNN} Accelerators with Dynamic Fine-Grained Channel Gating},
	booktitle = {Proceedings of the 52nd Annual {IEEE}/{ACM} International Symposium on Microarchitecture  ({MICRO})},
	author = {Hua, Weizhe and Zhou, Yuan and De Sa, Christopher and Zhang, Zhiru and Suh, G. Edward},
	year = {2019}
}

@inproceedings{deng_tie_2019,
	title = {{TIE}: energy-efficient tensor train-based inference engine for deep neural network},
	booktitle = {Proceedings of the 46th International Symposium on Computer Architecture  ({ISCA})},
	author = {Deng, Chunhua and Sun, Fangxuan and Qian, Xuehai and Lin, Jun and Wang, Zhongfeng and Yuan, Bo},
	year = {2019}
}

@inproceedings{frankle_lottery_2019,
	title = {The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks},
	booktitle = {Proceedings of the 7th International Conference on Learning Representations ({ICLR})},
	author = {Frankle, Jonathan and Carbin, Michael},
	year = {2019}
}

@inproceedings{dong_network_2019,
	title = {Network Density of States},
	booktitle = {Proceedings of the 25th {ACM} {SIGKDD} International Conference on Knowledge Discovery \& Data Mining  ({KDD})},
	author = {Dong, Kun and Benson, Austin R. and Bindel, David},
	year = {2019}
}